FRM 2026 Part I Quantitative Analysis Regression Analysis Free Quiz 1

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FRM 2026 Part I Quantitative Analysis Regression Analysis Free Quiz 1

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FRM 2026 Part I Quantitative Analysis Regression Analysis Free Quiz 1

Practice FRM 2026 Part I Quantitative Analysis MCQs from Regression Analysis. Get instant results with Explanation.

General10 MCQs

1. What is regression analysis?

A. Regression analysis is used for classificationB. Regression analysis models the relationship between dependent and independent variablesC. Regression analysis is only for simple linear relationshipsD. Regression analysis is not used in finance

2. What is the simple linear regression model?

A. The simple linear regression model is y = β₀ + β₁xB. The error term is assumed to be zeroC. The simple linear regression model is y = β₀ + β₁x + εD. The model has no intercept

3. What is the OLS estimation method?

A. OLS minimizes the sum of squared residualsB. OLS minimizes the sum of absolute residualsC. OLS maximizes the correlation coefficientD. OLS minimizes the sum of errors

4. What is R² in regression?

A. R² measures the correlation between X and YB. R² is always negativeC. R² is the same as the standard errorD. R² measures the proportion of variance explained by the model

5. What is adjusted R²?

A. Adjusted R² is always greater than R²B. Adjusted R² penalizes for adding predictorsC. Adjusted R² is the same as R²D. Adjusted R² is used for model selection only in time series

General10 MCQs

6. What is the standard error of the estimate?

A. Standard error of the estimate is the same as R²B. Standard error of the estimate measures the accuracy of the coefficientsC. Standard error of the estimate measures the average distance of observations from the regression lineD. Standard error of the estimate is always zero

7. What does a small p-value in regression indicate?

A. A small p-value indicates the coefficient is statistically significantB. A small p-value indicates the coefficient is not significantC. A p-value tests the overall model significanceD. A p-value is the same as the t-statistic

8. What does the F-statistic test in regression?

A. The F-statistic tests individual coefficientsB. The F-statistic tests the interceptC. The F-statistic tests the correlation between variablesD. The F-statistic tests the overall significance of the model

9. What is multicollinearity?

A. Multicollinearity improves model fitB. Multicollinearity causes unstable coefficient estimatesC. Multicollinearity is not a problem in regressionD. Multicollinearity reduces standard errors

10. What is heteroskedasticity?

A. Heteroskedasticity means constant varianceB. Heteroskedasticity is not a problem in regressionC. Heteroskedasticity means non-constant variance of errorsD. Heteroskedasticity improves the efficiency of estimates

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Conducting Body: Global Association of Risk Professionals GARP

Frequency: three times a year: May, August, and November | Time: 240 Minutes

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⚡ Test Pattern (Total: 100 MCQs):

Foundations of Risk Management: 25 MCQs
Quantitative Analysis: 25 MCQs
Financial Markets and Products: 25 MCQs
Valuation and Risk Models: 25 MCQs

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